[Brain Dynamic Functional Connectivity in Children and Adolescents With Conventional MRI-Negative Idiopathic Generalized Epilepsy].
Year: 2024
Type: other
Abstract: Objective: To investigate the changes in brain dynamic functional connectivity (dFC) in children and adolescents with idiopathic generalized epilepsy (IGE) who have negative findings for conventional magnetic resonance imaging (MRI) and to explore the correlation between dFC indicators and clinical variables. Methods: WI) and resting-state functional MRI (rs-fMRI). Using independent component analysis (ICA), sliding time windows, and k-means clustering, we identified 6 functional connectivity states and derived dFC indicators, including fraction of time, mean dwell time, and the number of transitions. Then, SPSS18.0 and GIFT software Stats module were used to analyze the intergroup differences in dFC and its correlation with clinical variables. The reliability and stability of the dFC results were validated by changing the size of the sliding window. Results: =0.007, Bonferroni correction). In the validation analysis, significant differences in dFC indicators between the IGE group and the control group persisted when the size of the sliding window and the number of clusters were changed. Conclusion: Children and adolescents with IGE and negative findings for conventional MRI exhibit abnormal dynamic properties of whole-brain functional connectivity, and the fraction of time of state 1 in IGE patients is correlated with clinical variables, providing new imaging evidence for research in the neural mechanisms of children and adolescents with IGE.
Source: PubMed
DOI: 10.12182/20241160108
Authors: Qinghui Li, Tijiang Zhang
Institution: Zunyi Medical University
Language: English
Subfield: Cognitive Neuroscience
Field: Neuroscience
Domain: Life Sciences
Open Access status: green
OpenAlex ID: W4407908058